10405900 1 Jan van Rijn 14 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8243666 C 0.1931405813574998 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.018465160097816957 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.6632914931057149 16360 kernel "sigmoid" 16360 max_iter -1 16360 probability false 16360 random_state 8683 16360 shrinking false 16360 tol 0.00021705565259483357 16360 verbose false 16360 openml-python Sklearn_0.21.2. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21733586 description https://api.openml.org/data/download/21733586/description.xml -1 21733587 predictions https://api.openml.org/data/download/21733587/predictions.arff area_under_roc_curve 0.8163888888888888 [0.9975,0.629722,0.903611,0.903333,0.765278,0.930278,0.765556,0.755833,0.894722,0.618056] average_cost 0 f_measure 0.6674552914228709 [0.997494,0.388693,0.831234,0.862434,0.582278,0.840855,0.477941,0.488978,0.861789,0.342857] kappa 0.6327777777777778 kb_relative_information_score 0.6543771493697128 mean_absolute_error 0.06610000000000052 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7002920310739293 [1,0.662651,0.837563,0.91573,0.589744,0.800905,0.377907,0.408027,0.940828,0.469565] predictive_accuracy 0.6695 prior_entropy 3.3219280948872383 recall 0.6695 [0.995,0.275,0.825,0.815,0.575,0.885,0.65,0.61,0.795,0.27] relative_absolute_error 0.36722222222221373 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2570992026436498 root_relative_squared_error 0.8569973421454863 total_cost 0 area_under_roc_curve 0.7888888888888889 [0.975,0.594444,0.852778,0.925,0.825,0.997222,0.630556,0.713889,0.847222,0.527778] area_under_roc_curve 0.8194444444444444 [1,0.638889,0.838889,0.919444,0.755556,0.933333,0.861111,0.733333,0.95,0.563889] area_under_roc_curve 0.8305555555555556 [1,0.694444,0.916667,0.869444,0.794444,0.938889,0.794444,0.730556,0.922222,0.644444] area_under_roc_curve 0.8138888888888889 [1,0.588889,0.922222,0.919444,0.819444,0.888889,0.769444,0.7,0.897222,0.633333] area_under_roc_curve 0.8277777777777778 [1,0.666667,0.922222,0.916667,0.775,0.908333,0.75,0.811111,0.891667,0.636111] area_under_roc_curve 0.8305555555555556 [1,0.663889,0.916667,0.875,0.655556,0.955556,0.8,0.855556,0.95,0.633333] area_under_roc_curve 0.825 [1,0.622222,0.894444,0.919444,0.730556,0.936111,0.844444,0.797222,0.919444,0.586111] area_under_roc_curve 0.811111111111111 [1,0.644444,0.888889,0.919444,0.780556,0.891667,0.838889,0.738889,0.75,0.658333] area_under_roc_curve 0.8333333333333333 [1,0.538889,0.997222,0.944444,0.775,0.916667,0.716667,0.738889,0.972222,0.733333] area_under_roc_curve 0.7833333333333331 [1,0.644444,0.886111,0.825,0.741667,0.936111,0.65,0.738889,0.847222,0.563889] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.6175731631778892 [0.974359,0.307692,0.697674,0.918919,0.651163,0.97561,0.301887,0.415094,0.8,0.133333] f_measure 0.6620284343167637 [1,0.4,0.736842,0.871795,0.578947,0.818182,0.566667,0.478261,0.947368,0.222222] f_measure 0.6952107987774281 [1,0.533333,0.85,0.810811,0.590909,0.857143,0.518519,0.468085,0.894737,0.428571] f_measure 0.6621565791104023 [1,0.285714,0.894737,0.871795,0.622222,0.8,0.490566,0.416667,0.864865,0.375] f_measure 0.6858409964888773 [1,0.466667,0.894737,0.85,0.585366,0.790698,0.48,0.583333,0.820513,0.387097] f_measure 0.6872821997671541 [1,0.451613,0.85,0.857143,0.411765,0.826087,0.538462,0.615385,0.947368,0.375] f_measure 0.6723652761415687 [1,0.384615,0.842105,0.871795,0.540541,0.837209,0.571429,0.528302,0.871795,0.275862] f_measure 0.6623341409548306 [1,0.428571,0.8,0.871795,0.615385,0.820513,0.551724,0.444444,0.666667,0.424242] f_measure 0.6893454242234731 [1,0.153846,0.97561,0.9,0.585366,0.85,0.423077,0.5,0.95,0.555556] f_measure 0.6222297161803685 [1,0.428571,0.780488,0.787879,0.606061,0.837209,0.321429,0.444444,0.8,0.216216] kappa 0.5777777777777778 kappa 0.638888888888889 kappa 0.6611111111111111 kappa 0.6277777777777779 kappa 0.6555555555555556 kappa 0.6611111111111111 kappa 0.65 kappa 0.6222222222222222 kappa 0.6666666666666666 kappa 0.5666666666666667 kb_relative_information_score 0.6026121535869463 kb_relative_information_score 0.6601288155677836 kb_relative_information_score 0.6810439653789969 kb_relative_information_score 0.6496712406621766 kb_relative_information_score 0.6758151779261936 kb_relative_information_score 0.6810439653789969 kb_relative_information_score 0.6705863904733903 kb_relative_information_score 0.6444424532093733 kb_relative_information_score 0.6862727528318004 kb_relative_information_score 0.5921545786813394 mean_absolute_error 0.07599999999999989 mean_absolute_error 0.06499999999999993 mean_absolute_error 0.06099999999999994 mean_absolute_error 0.06699999999999992 mean_absolute_error 0.06199999999999994 mean_absolute_error 0.06099999999999994 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.06799999999999992 mean_absolute_error 0.05999999999999995 mean_absolute_error 0.07799999999999989 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.658900809335592 [1,0.666667,0.652174,1,0.608696,0.952381,0.242424,0.333333,0.933333,0.2] precision 0.6910274082642505 [1,0.6,0.777778,0.894737,0.611111,0.75,0.425,0.423077,1,0.428571] precision 0.7405817983759161 [1,0.8,0.85,0.882353,0.541667,0.818182,0.411765,0.407407,0.944444,0.75] precision 0.6891440008220193 [1,0.5,0.944444,0.894737,0.56,0.8,0.393939,0.357143,0.941176,0.5] precision 0.7092563259268064 [1,0.7,0.944444,0.85,0.571429,0.73913,0.4,0.5,0.842105,0.545455] precision 0.7154632867132866 [1,0.636364,0.85,1,0.5,0.730769,0.4375,0.5,1,0.5] precision 0.7195671209333884 [1,0.833333,0.888889,0.894737,0.588235,0.782609,0.444444,0.424242,0.894737,0.444444] precision 0.7230876399142653 [1,0.75,0.8,0.894737,0.631579,0.842105,0.421053,0.352941,1,0.538462] precision 0.6984226190476189 [1,0.333333,0.952381,0.9,0.571429,0.85,0.34375,0.458333,0.95,0.625] precision 0.6835312854238687 [1,0.75,0.761905,1,0.769231,0.782609,0.25,0.352941,0.933333,0.235294] predictive_accuracy 0.62 predictive_accuracy 0.675 predictive_accuracy 0.695 predictive_accuracy 0.665 predictive_accuracy 0.69 predictive_accuracy 0.695 predictive_accuracy 0.685 predictive_accuracy 0.66 predictive_accuracy 0.7 predictive_accuracy 0.61 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 recall 0.62 [0.95,0.2,0.75,0.85,0.7,1,0.4,0.55,0.7,0.1] recall 0.675 [1,0.3,0.7,0.85,0.55,0.9,0.85,0.55,0.9,0.15] recall 0.695 [1,0.4,0.85,0.75,0.65,0.9,0.7,0.55,0.85,0.3] recall 0.665 [1,0.2,0.85,0.85,0.7,0.8,0.65,0.5,0.8,0.3] recall 0.69 [1,0.35,0.85,0.85,0.6,0.85,0.6,0.7,0.8,0.3] recall 0.695 [1,0.35,0.85,0.75,0.35,0.95,0.7,0.8,0.9,0.3] recall 0.685 [1,0.25,0.8,0.85,0.5,0.9,0.8,0.7,0.85,0.2] recall 0.66 [1,0.3,0.8,0.85,0.6,0.8,0.8,0.6,0.5,0.35] recall 0.7 [1,0.1,1,0.9,0.6,0.85,0.55,0.55,0.95,0.5] recall 0.61 [1,0.3,0.8,0.65,0.5,0.9,0.45,0.6,0.7,0.2] relative_absolute_error 0.42222222222222205 relative_absolute_error 0.36111111111111116 relative_absolute_error 0.3388888888888889 relative_absolute_error 0.37222222222222223 relative_absolute_error 0.3444444444444445 relative_absolute_error 0.3388888888888889 relative_absolute_error 0.35 relative_absolute_error 0.3777777777777777 relative_absolute_error 0.3333333333333334 relative_absolute_error 0.43333333333333324 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.2756809750418042 root_mean_squared_error 0.2549509756796391 root_mean_squared_error 0.24698178070456928 root_mean_squared_error 0.25884358211089553 root_mean_squared_error 0.2489979919597745 root_mean_squared_error 0.24698178070456928 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.2607680962081058 root_mean_squared_error 0.24494897427831772 root_mean_squared_error 0.2792848008753786 root_relative_squared_error 0.9189365834726813 root_relative_squared_error 0.8498365855987976 root_relative_squared_error 0.8232726023485647 root_relative_squared_error 0.8628119403696521 root_relative_squared_error 0.8299933065325821 root_relative_squared_error 0.8232726023485647 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.8692269873603533 root_relative_squared_error 0.8164965809277261 root_relative_squared_error 0.9309493362512626 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 804.4177099982335 usercpu_time_millis 812.6829610009736 usercpu_time_millis 802.7143170002091 usercpu_time_millis 803.4097730014764 usercpu_time_millis 804.4856159976916 usercpu_time_millis 804.7510920023342 usercpu_time_millis 802.8370249994623 usercpu_time_millis 804.271377997793 usercpu_time_millis 802.410988999327 usercpu_time_millis 799.0299960019911 usercpu_time_millis_testing 57.47122199863952 usercpu_time_millis_testing 58.37430900101026 usercpu_time_millis_testing 57.484540999212186 usercpu_time_millis_testing 57.89634100074181 usercpu_time_millis_testing 59.62092399931862 usercpu_time_millis_testing 57.57335500129557 usercpu_time_millis_testing 57.46245999944222 usercpu_time_millis_testing 57.94369899922458 usercpu_time_millis_testing 57.34425099944929 usercpu_time_millis_testing 57.50588200135098 usercpu_time_millis_training 746.946487999594 usercpu_time_millis_training 754.3086519999633 usercpu_time_millis_training 745.2297760009969 usercpu_time_millis_training 745.5134320007346 usercpu_time_millis_training 744.864691998373 usercpu_time_millis_training 747.1777370010386 usercpu_time_millis_training 745.3745650000201 usercpu_time_millis_training 746.3276789985684 usercpu_time_millis_training 745.0667379998777 usercpu_time_millis_training 741.5241140006401 wall_clock_time_millis 804.4538497924805 wall_clock_time_millis 814.4350051879883 wall_clock_time_millis 802.727460861206 wall_clock_time_millis 803.4243583679199 wall_clock_time_millis 804.511547088623 wall_clock_time_millis 804.7609329223633 wall_clock_time_millis 802.8256893157959 wall_clock_time_millis 804.2941093444824 wall_clock_time_millis 802.4120330810547 wall_clock_time_millis 799.0357875823975 wall_clock_time_millis_testing 57.47866630554199 wall_clock_time_millis_testing 58.3949089050293 wall_clock_time_millis_testing 57.49106407165527 wall_clock_time_millis_testing 57.906150817871094 wall_clock_time_millis_testing 59.64779853820801 wall_clock_time_millis_testing 57.58023262023926 wall_clock_time_millis_testing 57.46936798095703 wall_clock_time_millis_testing 57.953834533691406 wall_clock_time_millis_testing 57.35015869140625 wall_clock_time_millis_testing 57.51204490661621 wall_clock_time_millis_training 746.9751834869385 wall_clock_time_millis_training 756.040096282959 wall_clock_time_millis_training 745.2363967895508 wall_clock_time_millis_training 745.5182075500488 wall_clock_time_millis_training 744.863748550415 wall_clock_time_millis_training 747.180700302124 wall_clock_time_millis_training 745.3563213348389 wall_clock_time_millis_training 746.340274810791 wall_clock_time_millis_training 745.0618743896484 wall_clock_time_millis_training 741.5237426757812